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» Analysis of Variance for Gene Expression Microarray Data
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KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 1 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
BMCBI
2005
120views more  BMCBI 2005»
15 years 1 months ago
A microarray study of MPP+-treated PC12 Cells: Mechanisms of toxicity (MOT) analysis using bioinformatics tools
Background: This paper describes a microarray study including data quality control, data analysis and the analysis of the mechanism of toxicity (MOT) induced by 1-methyl-4-phenylp...
Zengjun Xu, Tucker A. Patterson, Jonathan D. Wren,...
BMCBI
2006
118views more  BMCBI 2006»
15 years 1 months ago
Microarray image analysis: background estimation using quantile and morphological filters
Background: In a microarray experiment the difference in expression between genes on the same slide is up to 103 fold or more. At low expression, even a small error in the estimat...
Anders Bengtsson, Henrik Bengtsson
BMCBI
2005
135views more  BMCBI 2005»
15 years 1 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...
BMCBI
2006
125views more  BMCBI 2006»
15 years 1 months ago
Evaluating different methods of microarray data normalization
Background: With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thous...
André Fujita, João Ricardo Sato, Leo...